arXiv Open Access 2024

A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries

Christiane Rakotomalala Jean-Marie Paillat Frédéric Feder Angel Avadí Laurent Thuriès +13 lainnya

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Abstrak

The text mining method presented in this paper was used for annotation of terms related to biological transformation and valorization of organic residues in agriculture in low and middle-income country. Specialized lexicon was obtained through different steps: corpus and extraction of terms, annotation of extracted terms, selection of relevant terms.

Topik & Kata Kunci

cs.IR cs.CL

Penulis (18)

Christiane Rakotomalala

Jean-Marie Paillat

Frédéric Feder

Angel Avadí

Laurent Thuriès

Marie-Liesse Vermeire

Jean-Michel Médoc

Tom Wassenaar

Caroline Hottelart

Lilou Kieffer

Elisa Ndjie

Mathieu Picart

Jorel Tchamgoue

Alvin Tulle

Laurine Valade

Annie Boyer

Marie-Christine Duchamp

Mathieu Roche

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APA MLA BibTeX

Rakotomalala, C., Paillat, J., Feder, F., Avadí, A., Thuriès, L., Vermeire, M. et al. (2024). A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries. https://arxiv.org/abs/2406.00682

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓